Mastering Databricks Auto-loader for Near Real Time/Batch Data Processing

In this masterclass, I introduce the Auto-loader feature in Databricks, which simplifies the process of incremental data loading from cloud storage. You'll learn about its functionality, supported data sources, and how it efficiently processes new files without the need for complex setups. Code Repository: https://github.com/databeli/databrick... What you will learn: 00:00 Intro 01:04 Understanding the Auto-loader and its definition 01:50 Supported data sources and file types for Auto-loader 02:238 Different file detection modes and their efficiencies 05:01 Types of triggers available in Auto-loader for scheduling jobs 07:00 A step-by-step demo on processing incremental data 14:34 How to handle schema changes and automatic data type detection 21:06 Troubleshooting schema evolution with different data formats If you enjoyed this video, please like, comment, and subscribe to our channel for more content! #databricks #autoloader #dataengineering #cloudstorage